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AI Research Scientist (Local & US Shift/ Hybrid)

Salary undisclosed

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Key Responsibilities:

  • Contribute to innovative research projects in AI, focusing on areas such as deep learning, computer vision, and vision-language models.
  • Design, develop, and evaluate novel machine learning algorithms and models, ensuring they are scalable and robust for commercial applications.
  • Data Analysis and Experimentation: Analyze large datasets to derive insights and validate research hypotheses. Conduct rigorous experiments to evaluate model performance and generalization.
  • Stay Current with Industry Trends: Keep abreast of the latest developments in AI research and technology, evaluating their potential impact on the company’s products and services.

Qualifications:

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a focus on computer vision or vision-language models.
  • Strong theoretical background in machine learning, encompassing both classical and novel computer vision techniques, as well as expertise in image processing.
  • Deep understanding of neural network architectures and proven experience in training them.
  • Proficiency in the Python programming language.
  • Min 3 years working experience with strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Pandas).
  • Excellent problem-solving skills.
  • A strong publication record in top-tier conferences and journals in the field of AI or machine learning.
  • Experience in a commercial environment is a plus, demonstrating the ability to apply research to practical applications and products